Differentiating between AI, Machine Learning and Deep Learning

This article is part of a special insideHPC report that explores trends in machine learning and deep learning. The complete report, available here, covers how businesses are using machine learning and deep learning, differentiating between AI, machine learning and deep learning, what it takes to get started and more.  Download the full report here. With all the quickly evolving jargon in the industry today,

Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Researchers at UC Berkeley’s RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Called Ray, the framework is ostensibly a replacement for Spark, which is seen as too slow for some real-world AI applications, and should be ready for production use in less

How Far Are We From ‘True’ Artificial Intelligence – And Do We Really Want To Go There?

Artificial Intelligence is something that’s been on the horizon for a long time – probably as long as anyone reading this will be able to remember. Since its emergence into the public consciousness through science fiction, we have understood with certainty that one day machines will have “intelligence”, and considered the ethical and philosophical implications. Today, though, there’s a palpable

The Difference between AI, Machine Learning and Deep Learning

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We

Why Deep Learning, and Why Now

Deep learning is all the rage today, as companies across industries seek to use advanced computational techniques to find useful information hidden across huge swaths of data. While the field of artificial intelligence is decades old, breakthroughs in the field of artificial neural networks are driving the explosion of deep learning. Attempts at creating artificial intelligence go back decades. In

All Eyes On AI in 2017

 This might be the easiest 2017 prediction to make: Artificial intelligence will continue to generate big headlines and command a considerable share of the corporate pocketbook as companies look to bolster their products and services with more automated decision making and human-like qualities. As we start the New Year, one of the big trends that nearly everybody in the big

Deep Learning Developers Eye Fintech Apps

 With artificial intelligence all the rage these days, market trackers are attempting to gauge just where the technology is headed and which industry sectors will lead development for specific big data and other enterprise use cases. The latest attempt comes from Evans Data Corp. in the form of an AI and big data survey released on Wednesday (Jan. 11). The

Could An AI Robot Run Your Company?

Robots — or more specifically, artificial intelligence — have become a major part of our modern, connected lives. We ask Siri for recommendations on where to eat, ask Google for directions to the restaurant, ask our car to play music or make a phone call, ask our house to turn on the lights and the heat before we get home.